SOTAVerified

Retrieval

A methodology that involves selecting relevant data or examples from a large dataset to support tasks like prediction, learning, or inference. It enhances models by providing context or additional information, often used in systems like retrieval-augmented generation or in-context learning.

Papers

Showing 1175111800 of 14297 papers

TitleStatusHype
Improving Entity Retrieval on Structured Data0
Improving Evidence Retrieval with Claim-Evidence Entailment0
Improving Factuality of 3D Brain MRI Report Generation with Paired Image-domain Retrieval and Text-domain Augmentation0
Improving Factuality with Explicit Working Memory0
Improving Few-shot and Zero-shot Entity Linking with Coarse-to-Fine Lexicon-based Retriever0
Improving Few-Shot Cross-Domain Named Entity Recognition by Instruction Tuning a Word-Embedding based Retrieval Augmented Large Language Model0
Improving Few-Shot Performance of Language Models via Nearest Neighbor Calibration0
Improving Grapheme-to-Phoneme Conversion through In-Context Knowledge Retrieval with Large Language Models0
Improving Harmful Text Detection with Joint Retrieval and External Knowledge0
Improving information retrieval from electronic health records using dynamic and multi-collaborative filtering0
Improving information retrieval through correspondence analysis instead of latent semantic analysis0
Improving Knowledge-Aware Dialogue Response Generation by Using Human-Written Prototype Dialogues0
Improving Language Models via Plug-and-Play Retrieval Feedback0
Improving Large-Scale Fact-Checking using Decomposable Attention Models and Lexical Tagging0
Improving Legal Case Retrieval with Brain Signals0
Improving Legal Information Retrieval by Distributional Composition with Term Order Probabilities0
Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations0
Improving Matching Models with Hierarchical Contextualized Representations for Multi-turn Response Selection0
Improving Multilingual Sentence Embedding using Bi-directional Dual Encoder with Additive Margin Softmax0
Improving Multiple Documents Grounded Goal-Oriented Dialog Systems via Diverse Knowledge Enhanced Pretrained Language Model0
Improving Multi-Turn Response Selection Models with Complementary Last-Utterance Selection by Instance Weighting0
Improving Natural-Language-based Audio Retrieval with Transfer Learning and Audio & Text Augmentations0
Improving Neural Models for Radiology Report Retrieval with Lexicon-based Automated Annotation0
Improving Neural Models for Radiology Report Retrieval with Lexicon-based Automated Annotation0
Improving Noise Robustness for Spoken Content Retrieval using Semi-supervised ASR and N-best Transcripts for BERT-based Ranking Models0
Improving Opinion-based Question Answering Systems Through Label Error Detection and Overwrite0
Improving Out-of-Distribution Generalization of Neural Rerankers with Contextualized Late Interaction0
Improving Performance of Automatic Keyword Extraction (AKE) Methods Using PoS-Tagging and Enhanced Semantic-Awareness0
Improving Performance Of English-Hindi Cross Language Information Retrieval Using Transliteration Of Query Terms0
PolQA: Polish Question Answering Dataset0
Improving RAG Retrieval via Propositional Content Extraction: a Speech Act Theory Approach0
Improving Rating and Relevance with Point-of-Interest Recommender System0
Improving Raw Image Storage Efficiency by Exploiting Similarity0
Improving Relevance Prediction with Transfer Learning in Large-scale Retrieval Systems0
Improving Retrieval Augmented Language Model with Self-Reasoning0
Improving Retrieval Augmented Neural Machine Translation by Controlling Source and Fuzzy-Match Interactions0
Improving Retrieval-Augmented Neural Machine Translation with Monolingual Data0
Improving Retrieval-augmented Text-to-SQL with AST-based Ranking and Schema Pruning0
Improving Retrieval for RAG based Question Answering Models on Financial Documents0
Improving Retrieval in Sponsored Search by Leveraging Query Context Signals0
Improving Retrieval Modeling Using Cross Convolution Networks And Multi Frequency Word Embedding0
Improving Robustness of Retrieval Augmented Translation via Shuffling of Suggestions0
Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation0
Improving Sparse Associative Memories by Escaping from Bogus Fixed Points0
Improving Spatiotemporal Self-Supervision by Deep Reinforcement Learning0
Improving Statistical Multimedia Information Retrieval Model by using Ontology0
Improving Tag-Clouds as Visual Information Retrieval Interfaces0
Improving TCM Question Answering through Tree-Organized Self-Reflective Retrieval with LLMs0
Improving Term Frequency Normalization for Multi-topical Documents, and Application to Language Modeling Approaches0
Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second183.53Unverified
2ElasticsearchQueries per second21.8Unverified
3BM25-PTQueries per second6.49Unverified
4Rank-BM25Queries per second1.18Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second20.88Unverified
2ElasticsearchQueries per second7.11Unverified
3Rank-BM25Queries per second0.04Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second41.85Unverified
2ElasticsearchQueries per second12.16Unverified
3Rank-BM25Queries per second0.1Unverified
#ModelMetricClaimedVerifiedStatus
1FLMRRecall@589.32Unverified
2RA-VQARecall@582.84Unverified
#ModelMetricClaimedVerifiedStatus
1PreFLMRRecall@562.1Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP-KIStext-to-video Mean Rank30Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4OutfitRecall@57.59Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1COLTCOMP@84.55Unverified
#ModelMetricClaimedVerifiedStatus
1hello0L1,121,222Unverified